Identifiability of latent coordinates and drift-Jacobian graph in additive-noise SDEs is established via pairwise distinct coordinate-wise diffusion variance ratios across two environments.
Trace: Trajectory recov- ery for continuous mechanism evolution in causal rep- resentation learning.arXiv preprint arXiv:2601.21135
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Mind Dreamer uses active causal intervention via an adversarial initial-state generator and relay value functions to untether imagination in MBRL, claiming 1.67x average and up to 8.8x sparse-reward speedups over DreamerV3.
citing papers explorer
-
Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts
Identifiability of latent coordinates and drift-Jacobian graph in additive-noise SDEs is established via pairwise distinct coordinate-wise diffusion variance ratios across two environments.
-
Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds
Mind Dreamer uses active causal intervention via an adversarial initial-state generator and relay value functions to untether imagination in MBRL, claiming 1.67x average and up to 8.8x sparse-reward speedups over DreamerV3.